alantess/gtrxl-torch
Gated Transformer Model for Computer Vision
This project helps computer vision researchers and deep learning engineers implement a Gated Transformer (GTrXL) model. It takes in visual data representations and processes them using a transformer architecture to produce refined feature outputs for various vision tasks. It's designed for those developing and experimenting with advanced neural network models for image and video analysis.
No commits in the last 6 months. Available on PyPI.
Use this if you are a deep learning engineer or researcher specifically working on computer vision tasks and need to experiment with or integrate a Gated Transformer architecture into your models.
Not ideal if you are an end-user looking for a ready-to-use application for image analysis without deep learning expertise.
Stars
25
Forks
1
Language
Python
License
MIT
Category
Last pushed
Jul 11, 2021
Commits (30d)
0
Dependencies
1
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